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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Advances in Clustering Search
verfasst von : Tarcisio Souza Costa, Alexandre César Muniz de Oliveira, Luiz Antonio Nogueira Lorena
Erschienen in: Soft Computing Models in Industrial and Environmental Applications, 5th International Workshop (SOCO 2010)
Verlag: Springer Berlin Heidelberg
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The Clustering Search (*
CS
) has been proposed as a generic way of combining search metaheuristics with clustering to detect promising search areas before applying local search procedures. The clustering process may keep representative solutions associated to different search subspaces. Although, recent applications have reached success in combinatorial optimisation problems, nothing new has arisen concerning diversification issues when population metaheuristics, as evolutionary algorithms, are being employed. In this work, recent advances in the *
CS
are commented and new features are proposed, including, the possibility of keeping population diversified for more generations.